# Google Keyword Research & Suggest Extractor (`deepaksheoran172/google-keyword-suggester`) Actor

Google autocomplete keyword research tool. Expands seed keywords with alphabet, interrogative question modifiers, and longtail variations.

- **URL**: https://apify.com/deepaksheoran172/google-keyword-suggester.md
- **Developed by:** [Deepak Sheoran](https://apify.com/deepaksheoran172) (community)
- **Categories:** SEO tools, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.00 / 1,000 google suggest keyword results

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

<p align="center">
  <img src="https://raw.githubusercontent.com/deepakshe/apify-b2b-super-actors/main/assets/actor_icons/google-keyword-suggester.png" width="96" height="96" alt="Google Long-Tail Keyword & Search Suggestion Engine Icon" style="border-radius: 20px; box-shadow: 0 8px 24px rgba(0,0,0,0.18);" />
</p>

<p align="center">
  <a href="https://apify.com/deepaksheoran172/google-keyword-suggester"><img src="https://img.shields.io/badge/Apify_Store-Active_PPE-blue?style=for-the-badge&logo=apify" alt="Apify Store" /></a>
  <a href="https://apify.com/deepaksheoran172/google-keyword-suggester"><img src="https://img.shields.io/badge/Launch_Discount-60%25_OFF-success?style=for-the-badge" alt="60% Launch Discount" /></a>
  <img src="https://img.shields.io/badge/Architecture-Zero--Proxy_Fast-informational?style=for-the-badge" alt="Zero-Proxy Fast" />
  <img src="https://img.shields.io/badge/QA_Validation-Verified_Pass-brightgreen?style=for-the-badge" alt="Verified QA Pass" />
</p>

## 🔍 Google Keyword Research & Autocomplete Extractor

> Google autocomplete keyword research tool. Expands seed keywords with alphabet, question modifiers, and longtail variations.

***

### ⚡ What it Does

- **Direct Autocomplete Suggestions:** Scrapes real-time Google search suggestions directly via open autocomplete endpoints.
- **Interrogative Questions Expansion:** Generates question modifiers ("how to", "best", "versus", "why", "what is").
- **A-Z Longtail Matrix:** Expands alphabetical and numeric permutations to discover detailed search queries.
- **Controlled Rate Limiting:** Bounded concurrency with automatic backoff and retry on HTTP 429 responses.

***

### 📥 Input Example

```json
{
  "keywords": [
    "shopify dropshipping"
  ],
  "includeQuestions": true,
  "includeAlphabet": true,
  "includeNumbers": false,
  "country": "us",
  "language": "en"
}
```

***

### 📤 Output Example (Dataset Item)

```json
{
  "keyword": "shopify dropshipping",
  "seed_query": "shopify dropshipping",
  "strategy": "DIRECT_AUTOCOMPLETE",
  "rank_order": 1,
  "char_length": 20,
  "word_count": 2,
  "discovered_at": "2026-10-19T00:15:21.281100+00:00"
```

***

### 💰 Pricing & High-Agency Guarantee

| Plan / Tier | Rate | Details |
|---|---|---|
| **Pay-Per-Result (Active Launch Discount - 60% OFF)** | **$2.50 / 1,000 discovered keywords** ($0.0025 / keyword) | Regular ~~$6.00 / 1k~~. Charged automatically per item saved to default dataset. |
| **Agency Subscription** | **$19.00 / month** | Unlimited keyword expansion workflows for SEO teams. |
| **Failed Searches** | **$0.00 (FREE)** | Zero charge if Google Suggest returns no results. |

# Actor input Schema

## `keywords` (type: `array`):

Seed queries or topic ideas to expand into longtail suggestions.

## `includeQuestions` (type: `boolean`):

Expands with question prefixes (how, why, what is, best, vs).

## `includeAlphabet` (type: `boolean`):

Appends letters A-Z to discover deep longtail keyword suggestions.

## `includeNumbers` (type: `boolean`):

Appends digits 0-9 to discover number-based keyword variations.

## `country` (type: `string`):

Two-letter country code (e.g. us, in, uk, ca).

## `language` (type: `string`):

Two-letter language code (e.g. en, es, fr).

## Actor input object example

```json
{
  "keywords": [
    "shopify dropshipping",
    "ecommerce marketing"
  ],
  "includeQuestions": true,
  "includeAlphabet": true,
  "includeNumbers": false,
  "country": "us",
  "language": "en"
}
```

# Actor output Schema

## `dataset` (type: `string`):

Discovered keyword suggestions pushed to the default Dataset.

## `summary` (type: `string`):

Summary metadata including total seeds processed and total keywords discovered.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "shopify dropshipping",
        "ecommerce marketing"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("deepaksheoran172/google-keyword-suggester").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "keywords": [
        "shopify dropshipping",
        "ecommerce marketing",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("deepaksheoran172/google-keyword-suggester").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "shopify dropshipping",
    "ecommerce marketing"
  ]
}' |
apify call deepaksheoran172/google-keyword-suggester --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,deepaksheoran172/google-keyword-suggester"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/ZxYsE1xbAENZLs6hQ/builds/z63u6Y3kLwvFUIgvt/openapi.json